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Data Analytics CPU Workload Performance Product Manager

NVIDIA· Technical Product Mktg
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Santa Clara, CA$184k - $287.5kFull-timePosted 1w ago

About the role

Product Manager focused on data analytics workloads for NVIDIA data center CPUs, owning strategy, market approach, benchmarks (e.g., TPC-H, TPC-DS), and cross-functional collaboration to define roadmaps, proof points, and field enablement.

Responsibilities

  • Taking responsibility for the workload and market approach for data analytics and data processing on NVIDIA data center CPUs — identifying priority workloads, customer scenarios, and the benchmarks and proof points that should guide the roadmap.
  • Leading the complete lifecycle of benchmarks like TPC-H and TPC-DS: methodology, cluster and benchmarking architecture, competitive analysis, and market positioning.
  • Translating disk, cache, memory, I/O, clustering, availability, and software behavior into concrete CPU, platform, and system requirements. Then advising architecture and platform teams on what to build and why.
  • Building the quantitative value proposition across performance, infrastructure, software licensing, power, and TCO to position NVIDIA CPUs against challenging architectures.
  • Working alongside external ISVs, database and analytics vendors, cloud providers, and strategic customers to verify requirements and build joint solutions and go-to-market approaches.
  • Redefining benchmark results and customer evidence into product decisions, competitive reactions, customer proof points, and field enablement materials.

Qualifications

  • 12+ years of experience in technical product management, performance engineering, or a closely related area.
  • BS or MS in Computer Science, Electrical or Computer Engineering — or equivalent experience.
  • Comprehensive, practical knowledge of CPU and database performance.
  • Understanding of system hardware characteristics that influence analytics performance — caching and clustering methods, high availability, memory and I/O sensitivity, and architectural trade-offs.
  • Ability to influence platform and architecture teams by translating workload performance into product, platform, and feature requirements.
  • Experience collaborating with external ISVs, silicon vendors, or the broader analytics ecosystem.

Skills

Required:workload strategy and roadmap planningbenchmark development and analysiscross-functional influence

Benefits

  • equity
  • benefits (see NVIDIA benefits)
Last updated Oct 16, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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